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{{Publikation Author
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{{Publikation Erster Autor
|Rank=1
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|ErsterAutorNachname=Lewen
|Author=Holger Lewen
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|ErsterAutorVorname=Holger
 
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{{Techreport
 
{{Techreport
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|Institution=Universität Karlsruhe (TH)
 
|Institution=Universität Karlsruhe (TH)
 
|Type=Technical Report
 
|Type=Technical Report
|ID Number=2016
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|Reviewed=Daniel M. Herzig
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|Archivierungsnummer=2016
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
 
|Abstract=In order to understand how algorithms work in different scenarios, it is important to test them both on real and on synthetic data. This technical report provides the description of the simulation-based evaluation of the Topic-Specfic Open Rating System. It includes a complete description of the experiment setup, a motivation and also a detailed analysis of the results.
 
|Abstract=In order to understand how algorithms work in different scenarios, it is important to test them both on real and on synthetic data. This technical report provides the description of the simulation-based evaluation of the Topic-Specfic Open Rating System. It includes a complete description of the experiment setup, a motivation and also a detailed analysis of the results.
|VG Wort-Seiten=
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|Download=TR2.pdf,
|Download=2009_2016_Lewen_Simulation-base_1.pdf
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|Projekt=NeOn
|DOI Name=
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|Forschungsgruppe=Wissensmanagement
|Forschungsgebiet=Semantic Web,
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}}
|Projekt=NeOn,
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{{Forschungsgebiet Auswahl
|Forschungsgruppe=
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|Forschungsgebiet=Semantic Web
 
}}
 
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Aktuelle Version vom 10. Dezember 2009, 15:08 Uhr

Simulation-based Evaluation of the Topic-Specific Trust Open Rating System




Published: 2009 Juni
Type: Technical Report
Institution: Universität Karlsruhe (TH)
Archivierungsnummer: 2016

BibTeX



Kurzfassung
In order to understand how algorithms work in different scenarios, it is important to test them both on real and on synthetic data. This technical report provides the description of the simulation-based evaluation of the Topic-Specfic Open Rating System. It includes a complete description of the experiment setup, a motivation and also a detailed analysis of the results.

Download: Media:TR2.pdf

Projekt

NeOn



Forschungsgruppe

Wissensmanagement


Forschungsgebiet

Semantic Web